Comparison Between Industrial Classification Systems in Freight Trip Generation Modeling
This paper compares two different industry classification systems used in freight trip generation (FTG) modeling, i.e. Standard Industrial Classification (SIC) and the North American Industry Classifications System (NAICS). The analysis focuses on the difference in the types of models generated and the models' ability to replicate the input data by industry sectors. The models are estimated using Ordinary Least Square (OLS) and Multiple Classification Analysis (MCA) techniques. The analysis uses two samples from the New York metropolitan area, receivers and carriers, to determine which of the two industrial classification systems provides better results when used in FTG modeling of freight attraction and production.
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Supplemental Notes:
- This paper was sponsored by TRB committee AT015(4) Paper reviews -- Logistics
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Campbell, Shama
- Sanchez-Diaz, Ivan
- Lawson, Catherine Theresa
- Jaller, Miguel
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0000-0003-4053-750X
- Holguin-Veras, Jose
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Conference:
- Transportation Research Board 91st Annual Meeting
- Location: Washington DC, United States
- Date: 2012-1-22 to 2012-1-26
- Date: 2012
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: 15p
- Monograph Title: TRB 91st Annual Meeting Compendium of Papers DVD
Subject/Index Terms
- TRT Terms: Freight traffic; Mathematical models; Regression analysis; Trip generation
- Identifier Terms: North American Industry Classification System; Standard Industrial Classification System
- Uncontrolled Terms: Multiple classification analysis
- Subject Areas: Data and Information Technology; Freight Transportation; I70: Traffic and Transport;
Filing Info
- Accession Number: 01373239
- Record Type: Publication
- Report/Paper Numbers: 12-3825
- Files: TRIS, TRB
- Created Date: Jun 21 2012 2:06PM